Non-Stationary-Oriented Highway Traffic Flow Spatiotemporal Prediction: Joint Koopman Theory and Graph Convolutional Network. - Ting Wang 038; Dong Ngoduy; Hao Lyu; Guojian Zou; Jingjue Bao; Ye Li (ITSC, 2024)

Knowledge-data fusion oriented traffic state estimation: A stochastic physics-informed deep learning approach. - Ting Wang 038; Ye Li; Rongjun Cheng; Guojian Zou; Takao Dantsuji; Dong Ngoduy (CoRR, 2024)

PI-STGnet: Physics-integrated spatiotemporal graph neural network with fundamental diagram learner for highway traffic flow prediction. - Ting Wang 038; Dong Ngoduy; Guojian Zou; Takao Dantsuji; Zongshi Liu; Ye Li (Expert Syst. Appl., 2024)

Learning and predicting traffic conflicts in mixed traffic: A spatiotemporal graph neural network with manifold similarity learning. - Zongshi Liu; Guojian Zou; Ting Wang 038; Meiting Tu; Hongwei Wang; Ye Li (Expert Syst. Appl., 2026)